Jacqueline Matthew

Orcid: 0000-0003-4754-0322

According to our database1, Jacqueline Matthew authored at least 38 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models.
BMC Medical Imaging, December, 2024

Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans.
CoRR, 2024

2023
Fast fetal head compounding from multi-view 3D ultrasound.
Medical Image Anal., October, 2023

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023

Towards Realistic Ultrasound Fetal Brain Imaging Synthesis.
CoRR, 2023

2022
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs.
CoRR, 2022

2021
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging, 2021

Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging.
IEEE Robotics Autom. Lett., 2021

Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.
Frontiers Digit. Health, 2021

Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome.
CoRR, 2020

Screen Tracking for Clinical Translation of Live Ultrasound Image Analysis Methods.
CoRR, 2020

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

2019
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging, 2019


Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Complete Fetal Head Compounding from Multi-view 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging.
CoRR, 2018

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection.
CoRR, 2018

Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Weakly Supervised Localisation for Fetal Ultrasound Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Shadow Detection in 2D Ultrasound Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep learning with ultrasound physics for fetal skull segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging, 2017

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR, 2016

Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


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